Triple

T17772398
Position Surface form Disambiguated ID Type / Status
Subject Villa Alegre E443671 entity
Predicate secondLevelSubdivisionType P9832 FINISHED
Object province LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: province | Statement: [Villa Alegre, secondLevelSubdivisionType, province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondLevelSubdivisionType
Context triple: [Villa Alegre, secondLevelSubdivisionType, province]
  • A. hasSecondLevelAdministrativeTerritory
    Indicates that an entity possesses or includes a second-level administrative division within its territorial or organizational hierarchy.
  • B. countrySubdivisionType chosen
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
  • C. lowerLevelSubdivision
    Indicates that one administrative or organizational unit is a smaller, subordinate subdivision within another, higher-level unit.
  • D. hasHigherLevelSubdivisionType
    Indicates that one administrative or territorial subdivision type is hierarchically above another within a broader organizational structure.
  • E. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871a2130819081743ae89dddc64b completed April 19, 2026, 7:41 a.m.
PD Predicate disambiguation batch_69e3d8d8e538819084f1584426b41d5e completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:11 a.m.